A health management system and method for a converter cooling system

Abstract

This invention provides a health management system and method for a converter cooling system. In this system: a temperature rise detection module for cooled components is used to detect the temperature rise of the components, continuously monitor the temperature rise status of the cooled components, and use this as a core parameter to determine whether the cooling system is working properly and an important indicator to determine the urgency of warnings; a duct flow resistance monitoring module is used to detect differential pressure values ​​through differential pressure sensors installed at different stages of the converter cooling duct, and calculate the flow resistance of each stage of the duct; a cooling fan operation status detection module is used to detect the fan current, fan voltage, motor temperature rise, and the condition of the bearings and the dynamic balance performance of the blades during fan operation; a health management module is used to acquire the detection data from the cooled component temperature rise detection module, the duct flow resistance monitoring module, and the cooling fan operation status detection module, and to comprehensively analyze the various indicator parameters to determine the fault location and urgency, and formulate response strategies.

Description

Technical Field

[0001] This invention relates to the field of railway transportation technology, and more particularly to a health management system and method for a converter cooling system. Background Technology

[0002] High safety and reliability are crucial for fields such as railway transportation. To avoid malfunctions or even catastrophic accidents, it is essential to detect early symptoms or minor faults as early as possible to prevent major malfunctions or catastrophic accidents. However, traditional "post-failure maintenance" only repairs after a malfunction occurs, which cannot prevent the occurrence of malfunctions and catastrophic accidents. "Regular maintenance" often wastes human and material resources because it cannot accurately judge the system status.

[0003] Fault prediction and health management is a comprehensive technology for fault detection, isolation, prediction, and health management. PHM refers to using as few sensors as possible to collect system status information, and using various fault reasoning algorithms and intelligent diagnostic and prediction models to monitor, predict, and manage the status of the system and estimate the health of the system or device. It can not only monitor and diagnose faults, but also predict the occurrence of faults in advance, so that the system can take safety fault-tolerant control measures or maintenance and repair before the fault occurs, thereby achieving the goal of autonomous safety assurance and minimal cost loss.

[0004] With the development of railway technology, the design concepts and technologies of health management have been gradually applied to vehicle and converter technology. However, most current health management systems for vehicles and converters focus on performance monitoring and fault prediction for pantographs, running gear, and major electrical components, neglecting the health management of the converter's cooling system. The performance of the converter's cooling system directly affects the overall operation and reliability of the converter and even the entire vehicle. Currently, most maintenance of the cooling system follows fixed schedules. However, the health of the cooling system is greatly affected by different operating environments and lines. Following the same maintenance cycle or schedule often results in maintenance being performed too early or too late. For example, the cleaning or replacement cycle of filters or fans is highly dependent on the operating environment. Even with the same maintenance cycle, filters or fans on cleaner lines may not have reached the required level of maintenance, while in harsher environments, filters may become clogged or fans may be damaged due to lack of timely maintenance before the maintenance cycle is due, directly leading to vehicle malfunctions. Therefore, it is extremely necessary to invent a health management method and system for converter cooling systems. It can completely solve the current extensive maintenance model. It can maximize the efficiency and effectiveness of maintenance, ensure the reliable operation of vehicles, and allow maintenance to be carried out according to actual needs, resulting in very good economic benefits. Summary of the Invention

[0005] To address the aforementioned technical problems, this invention provides a health management system and method for a converter cooling system. This invention can completely solve the current extensive maintenance model, improve maintenance efficiency and effectiveness, ensure reliable vehicle operation, and allow maintenance to be performed according to actual needs, resulting in significant economic benefits.

[0006] The technical means employed in this invention are as follows:

[0007] A health management system for a converter cooling system includes: a temperature rise detection module for cooled components, a duct flow resistance monitoring module, a cooling fan operation status detection module, and a health management module, wherein:

[0008] The temperature rise detection module for the cooled component is used to detect the temperature rise of the device, monitor the temperature rise status of the cooled component at any time, and serve as a core parameter for determining whether the cooling system is working properly and an important indicator for determining the urgency of the warning.

[0009] The air duct flow resistance monitoring module is used to calculate the flow resistance of each link in the air duct by using the differential pressure value detected by differential pressure sensors installed at different links in the converter cooling air duct.

[0010] The cooling fan operation status detection module is used to detect parameters of the fan during operation, including fan current, fan voltage, motor temperature rise, bearing status, and blade dynamic balance performance.

[0011] The health management module is connected to the cooling component temperature rise detection module, the air duct flow resistance monitoring module, and the cooling fan operation status detection module. It is used to acquire the detection data from the cooling component temperature rise detection module, the air duct flow resistance monitoring module, and the cooling fan operation status detection module, and to comprehensively analyze the various indicator parameters to determine the fault location and urgency, and formulate response strategies.

[0012] Furthermore, the temperature rise detection module for the cooled component includes a temperature sensor and a temperature rise signal acquisition unit, wherein:

[0013] A temperature sensor is installed on the component being cooled to detect the temperature rise of the component.

[0014] The temperature rise signal acquisition unit is connected to a temperature sensor to collect the temperature rise status of the cooled component detected by the temperature sensor, and sends the temperature rise status of the cooled component to the health management module.

[0015] Furthermore, the duct flow resistance monitoring module includes four differential pressure sensors, a duct flow resistance converter, and a flow resistance signal acquisition unit, wherein:

[0016] The differential pressure sensor includes a first differential pressure sensor, a second differential pressure sensor, a third differential pressure sensor, and a fourth differential pressure sensor. The first differential pressure sensor is used to detect the pressure difference P between the pressure P0 in the positive pressure chamber where the fan is located and the pressure P2 at the front end of the first radiator. A P A =P0-P2; The second differential pressure sensor is used to detect the pressure difference P between the positive pressure chamber pressure P0 where the fan is located and the front pressure P3 of the second radiator. B P B =P0-P3; The third differential pressure sensor is used to detect the pressure difference P between the positive pressure chamber P0 where the fan is located and the negative pressure chamber P1 at the front end of the fan. C P C =P0-P1; The fourth differential pressure sensor is used to detect the pressure P0 in the positive pressure chamber where the fan is located and the ambient pressure P. T Pressure difference P between D P D =P0-P T ;

[0017] The duct flow resistance converter includes a first duct flow resistance converter, a second duct flow resistance converter, a third duct flow resistance converter, and a fourth duct flow resistance converter. The first duct flow resistance converter is used to calculate the pressure difference P detected by the first differential pressure sensor. A Calculate the flow resistance P of the first filter. L1 P L1 =P A –P D The second duct flow resistance converter is used to calculate the pressure difference P detected by the second differential pressure sensor. B Calculate the flow resistance P of the second filter. L2 P L2 =P B –P D The third and fourth duct flow resistance converters are used to calculate the pressure difference P detected by the third differential pressure sensor. C Calculate the flow resistance P of the first heat sink s1 P s1 =P C –P A The flow resistance P of the second heat sink s2 P s2 =P C –P B The fourth duct flow resistance converter calculates the pressure difference P detected by the fourth differential pressure sensor. D The converted reactor current resistance is P D ;

[0018] The flow resistance signal acquisition device is connected to the duct flow resistance converter and sends the calculated flow resistance signal to the health management module.

[0019] Furthermore, the cooling fan operation status detection module includes a current sensor, a voltage sensor, a temperature sensor, a directional noise sensor, an ambient noise sensor, a vibration sensor, a signal processor, and a fan operation status signal acquisition unit, wherein:

[0020] The current sensor, voltage sensor, and temperature sensor are used to acquire the fan current, fan voltage, and motor temperature rise when the fan is working, respectively, to characterize whether the fan is working normally, and to serve as a necessary condition for determining that the fan is working normally.

[0021] The directional noise sensor is used to identify the noise of the fan bearing;

[0022] The environmental noise sensor is installed in the negative pressure chamber of the converter, away from the wind turbine, and is used to test the environmental noise.

[0023] The vibration sensor is used to detect the dynamic balance of the blades, and will issue an alarm when the vibration exceeds the specified range.

[0024] The signal processor is connected to an environmental noise sensor and performs noise reduction processing on the bearing noise collected by the environmental noise sensor, thereby identifying the noise generated by the wind turbine bearing.

[0025] The wind turbine operating status signal acquisition unit is connected to a current sensor, voltage sensor, temperature sensor, directional noise sensor, environmental noise sensor, vibration sensor, and signal processor, and sends the acquired wind turbine operating status signal to the health management module.

[0026] Furthermore, in the cooling fan operation status detection module, the bearing status is detected by performing noise reduction processing on the noise during the operation of the cooling fan and then performing spectrum analysis to extract the noise components at different frequencies. The health management module then compares and analyzes the noise with the original noise spectrum when the fan is operating normally, thereby identifying abnormal conditions of the fan bearing at an early stage.

[0027] Furthermore, in the cooling fan operation status detection module, the detection of bearing status and blade dynamic balance performance includes the bearing status and blade dynamic balance performance when the train is stationary during train entry into the station. Noise is detected in the stationary state to eliminate uncertain noise generated when the train is running.

[0028] This invention also provides a health management method for a converter cooling system based on the aforementioned health management system, comprising:

[0029] S1. Detect the temperature rise of the device, monitor the temperature rise status of the cooled component at any time, and use it as the core parameter to determine whether the cooling system is working properly and as an important indicator to determine the urgency of the warning.

[0030] S2. Calculate the flow resistance of each part of the air duct by using the differential pressure value detected by differential pressure sensors installed at different stages in the converter cooling air duct.

[0031] S3. Detect parameters of the fan during operation, including fan current, fan voltage, motor temperature rise, bearing condition, and blade dynamic balance performance.

[0032] S4. Obtain the detection data from steps S1 to S3, and conduct comprehensive analysis of the various indicator parameters to determine the fault location and urgency level, and formulate a response strategy.

[0033] Compared with the prior art, the present invention has the following advantages:

[0034] The converter cooling system health management system provided by this invention can completely solve the current extensive maintenance mode, improve maintenance efficiency and effectiveness, ensure reliable vehicle operation, and perform maintenance according to actual needs, resulting in very good economic benefits.

[0035] Based on the above reasons, this invention can be widely promoted in fields such as railway transportation. Attached Figure Description

[0036] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0037] Figure 1 This is a block diagram of the main health management indicators and testing scheme for the converter cooling system of this invention.

[0038] Figure 2 A cross-sectional view of the sensor placement locations in the health management system of the converter cooling system provided in an embodiment of the present invention.

[0039] Figure 3 A cross-sectional view of the sensor placement location in the health management system of a converter cooling system provided in another embodiment of the present invention.

[0040] Figure 2 , 3In the middle: 101, First filter; 102, Second filter; 201, First radiator; 202, Second radiator; 301, First differential pressure sensor; 302, Second differential pressure sensor; 303, Third differential pressure sensor; 304, Fourth differential pressure sensor; 401, First directional noise sensor; 402, Second directional noise sensor; 403, Ambient noise sensor; 501, Partition; 601, Reactor; 701, Air outlet; 801, Fan;

[0041] Figure 4 This is a schematic diagram of the differential pressure sensor detection principle of the present invention.

[0042] Figure 5 This is a schematic diagram of the differential pressure sensor structure of the present invention.

[0043] Figure 5 In the middle: 1. Dust cover; 2. Sealing gasket; 3. Control line plug; 4. Differential pressure sensor body; 5. First air inlet; 6. Second air inlet.

[0044] Figure 6 This is an application example of a train cooling system provided in an embodiment of the present invention.

[0045] Figure 7 This is another example of a train cooling system application provided by an embodiment of the present invention. Detailed Implementation

[0046] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0047] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0048] like Figure 1As shown, the present invention provides a health management system for a converter cooling system, comprising: a temperature rise detection module for the cooled components, a duct flow resistance monitoring module, a cooling fan operation status detection module, and a health management module, wherein:

[0049] The temperature rise detection module for the cooled component is used to detect the temperature rise of the device, monitor the temperature rise status of the cooled component at any time, and serve as a core parameter for determining whether the cooling system is working properly and an important indicator for determining the urgency of the warning.

[0050] The air duct flow resistance monitoring module is used to calculate the flow resistance of each link in the air duct by using the differential pressure value detected by differential pressure sensors installed at different links in the converter cooling air duct.

[0051] The cooling fan operation status detection module is used to detect parameters of the fan during operation, including fan current, fan voltage, motor temperature rise, bearing status, and blade dynamic balance performance.

[0052] The health management module is connected to the cooling component temperature rise detection module, the air duct flow resistance monitoring module, and the cooling fan operation status detection module. It is used to acquire the detection data from the cooling component temperature rise detection module, the air duct flow resistance monitoring module, and the cooling fan operation status detection module, and to comprehensively analyze the various indicator parameters to determine the fault location and urgency, and formulate response strategies.

[0053] In a specific implementation, as a preferred embodiment of the present invention, the temperature rise detection module for the cooled component includes a temperature sensor and a temperature rise signal acquisition device, wherein:

[0054] A temperature sensor is installed on the component being cooled to detect the temperature rise of the component.

[0055] The temperature rise signal acquisition unit is connected to a temperature sensor to collect the temperature rise status of the cooled component detected by the temperature sensor, and sends the temperature rise status of the cooled component to the health management module.

[0056] In specific implementation, as a preferred embodiment of the present invention, such as Figure 2 , 3 The diagram shows the location and operating principle of the health management sensors for the converter cooling system. Section 1 and Section 2 are views of the converter along its length and width, respectively. The duct flow resistance monitoring module includes four differential pressure sensors, a duct flow resistance converter, and a flow resistance signal acquisition unit, wherein:

[0057] The differential pressure sensors include a first differential pressure sensor 301, a second differential pressure sensor 302, a third differential pressure sensor 303, and a fourth differential pressure sensor 304. The first differential pressure sensor 301 is used to detect the pressure difference P between the pressure P0 of the positive pressure chamber where the fan 801 is located and the pressure P2 at the front end of the first radiator 201. A P A =P0-P2; The second differential pressure sensor 302 is used to detect the pressure difference P between the positive pressure chamber pressure P0 where the fan 801 is located and the front pressure P3 of the second radiator 202. B P B =P0-P3; The third differential pressure sensor 303 is used to detect the pressure difference P between the positive pressure chamber pressure P0 where the fan 801 is located and the negative pressure chamber pressure P1 at the front end of the fan 801. C P C =P0-P1; The fourth differential pressure sensor 304 is used to detect the pressure P0 in the positive pressure chamber where the fan 801 is located and the ambient pressure P. T Pressure difference P between D P D =P0-P T ;

[0058] like Figure 4 The diagram shows the principle of duct flow resistance detection. The flow resistance calculation formulas for each stage can be derived from the diagram. The duct flow resistance converter includes a first duct flow resistance converter, a second duct flow resistance converter, a third duct flow resistance converter, and a fourth duct flow resistance converter. The first duct flow resistance converter is used to calculate the pressure difference P detected by the first differential pressure sensor 301. A Calculate the flow resistance P of the first filter 101 L1 P L1 =P A –P D The second duct flow resistance converter is used to calculate the pressure difference P detected by the second differential pressure sensor 302. B Calculate the flow resistance P of the second filter 102 L2 P L2 =P B –P D The third and fourth duct flow resistance converters are used to calculate the pressure difference P detected by the third differential pressure sensor 303. C Calculate the flow resistance P of the first heatsink 201 s1 P s1 =P C –P A The flow resistance P of the second heat sink 202 s2 P s2 =P C –P B The fourth duct flow resistance converter converts the flow resistance of the reactor 601 to PD based on the differential pressure PD detected by the fourth differential pressure sensor 304.

[0059] The flow resistance signal acquisition device is connected to the duct flow resistance converter and sends the calculated flow resistance signal to the health management module.

[0060] In this embodiment, when the converter is first used, it records the flow resistance of each component under normal conditions (without dust accumulation) as a reference value, and the upper limit of the allowable flow resistance of each component is set in advance. If the flow resistance of a certain component exceeds the preset value during operation, a reminder warning will be issued and sent to the display screen in the driver's control room through the whole vehicle network, and transmitted to the monitoring screen and workstation of the depot through the vehicle-to-ground wireless network to prompt the staff to clean the corresponding air duct component.

[0061] Figure 2 and Figure 3 The two parallel air ducts converge into a single air duct after passing through the fan, blowing air towards the reactor. The actual differential pressure sensor settings can be configured according to different system needs, but the principle is basically similar. It can be seen that by setting the differential pressure sensor, the flow resistance of each link in the air duct can be accurately calculated. When the flow resistance of a certain link increases, it indicates that the dust accumulation in that link is more serious and needs cleaning. This allows for cleaning and maintenance based on the actual condition of the air duct, improving maintenance efficiency and accuracy.

[0062] The differential pressure sensor selected in this embodiment has the following structure: Figure 5 As shown, a dust cover 1 is installed to prevent dust in the air duct from clogging the air inlet; a sealing gasket 2 is installed to prevent air leakage between different compartments. When the sensor is installed, the sealing gasket 2 can cover the opening at the cabinet to ensure a seal.

[0063] In a specific implementation, as a preferred embodiment of the present invention, the cooling fan operating status detection module includes a current sensor, a voltage sensor, a temperature sensor, a directional noise sensor, an environmental noise sensor, a vibration sensor, a signal processor, and a fan operating status signal acquisition unit, wherein:

[0064] The current sensor, voltage sensor, and temperature sensor are used to acquire the fan current, fan voltage, and motor temperature rise when the fan is working, respectively, to characterize whether the fan is working normally, and to serve as a necessary condition for determining that the fan is working normally.

[0065] The directional noise sensor is used to identify the noise of the wind turbine bearing. In this embodiment, since the train wheels and tracks, as well as the onboard electrical equipment and braking devices, generate a large amount of interference noise during train operation, a directional noise collection sensor is used to better identify the noise of the wind turbine bearing. Figure 2 , Figure 3The system includes a first directional noise sensor 401 and a second directional noise sensor 402. These sensors are equipped with directional pickup covers to better collect sound from the test direction. Multiple sensors can be added as needed to improve detection accuracy.

[0066] The environmental noise sensor is installed in the negative pressure chamber of the converter, away from the wind turbine, and is used to test the environmental noise.

[0067] The vibration sensor is used to detect the dynamic balance of the blades, and will issue an alarm when the vibration exceeds the specified range.

[0068] The signal processor is connected to an environmental noise sensor and performs noise reduction processing on the bearing noise collected by the environmental noise sensor, thereby identifying the noise generated by the wind turbine bearing.

[0069] The wind turbine operating status signal acquisition unit is connected to a current sensor, voltage sensor, temperature sensor, directional noise sensor, environmental noise sensor, vibration sensor, and signal processor, and sends the acquired wind turbine operating status signal to the health management module.

[0070] In a preferred embodiment of this invention, the bearing status is detected in the cooling fan operation status detection module by performing noise reduction processing on the noise generated during cooling fan operation, followed by spectrum analysis to extract the noise components at different frequencies. The noise is then compared with the original noise spectrum during normal fan operation via a health management module. This allows for early identification of abnormal bearing conditions and enables appropriate maintenance and repair, thereby extending fan life and improving the reliability of the cooling system. Existing technologies for monitoring the status of vehicle-mounted cooling fans indirectly determine whether the bearing is damaged or worn by monitoring its current, voltage, temperature, or vibration. However, this detection method has poor sensitivity; only when the bearing is severely worn will the excess load resistance generated by the bearing be reflected in the motor current. Furthermore, dust accumulation in the air duct and clogging of the filter screen increase the fan load, easily leading to false alarms. The fan status detection method described in this invention primarily utilizes acoustic principles, enabling the identification of abnormal noises in the early stages of bearing wear. It uses only abnormal fan current and voltage as auxiliary judgment conditions, thus significantly improving the sensitivity of the detection.

[0071] In a preferred embodiment of this invention, the detection module for the operating status of the cooling fan detects both the bearing status and blade dynamic balance performance, including the bearing status and blade dynamic balance performance when the train is stationary during stationary operation. Noise is detected in the stationary state to eliminate uncertain noise generated during train operation. In this embodiment, when the train enters the station, the vehicle's VCU transmits a stop signal to the converter via the network. The health management system then begins collecting noise data from the converter. To improve monitoring accuracy and reduce false alarms, multiple stop monitoring results can be compared.

[0072] This invention also provides a health management method for a converter cooling system based on a health management system for the converter cooling system, comprising:

[0073] S1. Detect the temperature rise of the device, monitor the temperature rise status of the cooled component at any time, and use it as the core parameter to determine whether the cooling system is working properly and as an important indicator to determine the urgency of the warning.

[0074] S2. Calculate the flow resistance of each part of the air duct by using the differential pressure value detected by differential pressure sensors installed at different stages in the converter cooling air duct.

[0075] S3. Detect parameters of the fan during operation, including fan current, fan voltage, motor temperature rise, bearing condition, and blade dynamic balance performance.

[0076] S4. Obtain the detection data from steps S1 to S3, and conduct comprehensive analysis of the various indicator parameters to determine the fault location and urgency level, and formulate a response strategy.

[0077] Example 1

[0078] like Figure 6 The diagram illustrates an application of a train cooling system health management system. As a subsystem of the overall converter health management system, this system transmits key health management indicators to the onboard display, train control unit, and onboard data acquisition and transmission system via the vehicle network through the converter's control unit. The driver or VCU can then take appropriate action based on the detection results. Simultaneously, the health management data is transmitted to the depot's control center and maintenance personnel via the vehicle-to-ground wireless network.

[0079] Example 2

[0080] like Figure 7The diagram shows the workflow of the converter cooling system health management system. It primarily manages the health of the air duct by monitoring three main health indicators: the temperature rise of the cooled components, the airflow resistance, and the fan operating status. The health management module within the system comprehensively analyzes these parameters to determine the location and urgency of any faults, thus formulating different response strategies. The temperature rise of the cooled components and the fan operating parameters are the main indicators for determining urgency, as abnormalities in these parameters generally indicate a fault rather than a "sub-healthy" operating state. If these parameters are abnormal, the priority for handling the issue should be increased. By subdividing faults or health levels, maintenance and repair work can be optimized, allowing for more scientifically formulated maintenance and repair procedures based on the actual system conditions.

[0081] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0082] In the above embodiments of the present invention, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0083] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection between units or modules may be electrical or other forms.

[0084] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0085] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0086] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0087] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A health management system for a converter cooling system, characterized in that, include: The system includes a temperature rise detection module for cooled components, a duct flow resistance monitoring module, a cooling fan operation status detection module, and a health management module, among which: The temperature rise detection module for the cooled component is used to detect the temperature rise of the device, monitor the temperature rise status of the cooled component at any time, and serve as a core parameter for determining whether the cooling system is working properly and an important indicator for determining the urgency of the warning. The air duct flow resistance monitoring module is used to calculate the flow resistance of each link in the air duct by using the differential pressure value detected by differential pressure sensors installed at different links in the converter cooling air duct. The duct flow resistance monitoring module includes four differential pressure sensors, a duct flow resistance converter, and a flow resistance signal acquisition unit, wherein: The differential pressure sensor includes a first differential pressure sensor, a second differential pressure sensor, a third differential pressure sensor, and a fourth differential pressure sensor. The first differential pressure sensor is used to detect the pressure P0 in the positive pressure chamber where the fan is located and the pressure at the front end of the first radiator. Pressure difference between , The second differential pressure sensor is used to detect the pressure in the positive pressure chamber where the fan is located. Second radiator front pressure Pressure difference between , The third differential pressure sensor is used to detect the pressure P0 in the positive pressure chamber where the fan is located and the pressure in the negative pressure chamber at the front end of the fan. Pressure difference between , The fourth differential pressure sensor is used to detect the pressure in the positive pressure chamber where the fan is located. and environmental pressure Pressure difference between , ; The duct flow resistance converter includes a first duct flow resistance converter, a second duct flow resistance converter, a third duct flow resistance converter, and a fourth duct flow resistance converter. The first duct flow resistance converter is used to calculate the pressure difference detected by the first differential pressure sensor. Calculate the flow resistance of the first filter. , The second duct flow resistance converter is used to calculate the pressure difference detected by the second differential pressure sensor. Calculate the flow resistance of the second filter. , The third duct flow resistance converter is used to calculate the pressure difference detected by the third differential pressure sensor. Calculate the flow resistance of the first heat sink , The fourth duct flow resistance converter is used to calculate the pressure difference detected by the third differential pressure sensor. Calculate the flow resistance of the second heat sink , The fourth duct flow resistance converter is used to calculate the pressure difference detected by the fourth differential pressure sensor. Convert reactor current resistance to ; The flow resistance signal acquisition device is connected to the duct flow resistance converter and sends the converted flow resistance signal to the health management module; The cooling fan operation status detection module is used to detect parameters of the fan during operation, including fan current, fan voltage, motor temperature rise, bearing status, and blade dynamic balance performance. The health management module is connected to the cooling component temperature rise detection module, the air duct flow resistance monitoring module, and the cooling fan operation status detection module. It is used to acquire the detection data from the cooling component temperature rise detection module, the air duct flow resistance monitoring module, and the cooling fan operation status detection module, and to comprehensively analyze the various indicator parameters to determine the fault location and urgency, and formulate response strategies.

2. The health management system for the converter cooling system according to claim 1, characterized in that, The temperature rise detection module for the cooled component includes a temperature sensor and a temperature rise signal acquisition unit, wherein: A temperature sensor is installed on the component being cooled to detect the temperature rise of the component. The temperature rise signal acquisition unit is connected to a temperature sensor to collect the temperature rise status of the cooled component detected by the temperature sensor, and sends the temperature rise status of the cooled component to the health management module.

3. The health management system for the converter cooling system according to claim 1, characterized in that, The cooling fan operation status detection module includes a current sensor, a voltage sensor, a temperature sensor, a directional noise sensor, an environmental noise sensor, a vibration sensor, a signal processor, and a fan operation status signal acquisition unit, wherein: The current sensor, voltage sensor, and temperature sensor are used to acquire the fan current, fan voltage, and motor temperature rise when the fan is working, respectively, to characterize whether the fan is working normally, and to serve as a necessary condition for determining that the fan is working normally. The directional noise sensor is used to identify the noise of the fan bearing; The environmental noise sensor is installed in the negative pressure chamber of the converter, away from the wind turbine, and is used to test the environmental noise. The vibration sensor is used to detect the dynamic balance of the blades, and will issue an alarm when the vibration exceeds the specified range. The signal processor is connected to an environmental noise sensor and performs noise reduction processing on the bearing noise collected by the environmental noise sensor, thereby identifying the noise generated by the wind turbine bearing. The wind turbine operating status signal acquisition unit is connected to a current sensor, voltage sensor, temperature sensor, directional noise sensor, environmental noise sensor, vibration sensor, and signal processor, and sends the acquired wind turbine operating status signal to the health management module.

4. The health management system for the converter cooling system according to claim 1, characterized in that, In the cooling fan operation status detection module, the bearing status is detected by performing noise reduction processing on the noise of the cooling fan during operation, followed by spectrum analysis to extract the noise components at different frequencies, and then comparing the noise with the original noise spectrum when the fan is operating normally through the health management module, so as to identify abnormal conditions of the fan bearing at an early stage.

5. The health management system for the converter cooling system according to claim 1, characterized in that, In the cooling fan operation status detection module, the detection of bearing status and blade dynamic balance performance includes the bearing status and blade dynamic balance performance when the train is stationary and the vehicle is entering the station. Noise is detected in the stationary state to eliminate the uncertain noise generated when the train is running.

6. A health management method for a converter cooling system based on the health management system of the converter cooling system according to any one of claims 1-5, characterized in that, include: S1. Detect the temperature rise of the device, monitor the temperature rise status of the cooled component at any time, and use it as the core parameter to determine whether the cooling system is working properly and as an important indicator to determine the urgency of the warning. S2. Calculate the flow resistance of each part of the air duct by using the differential pressure value detected by differential pressure sensors installed at different stages in the converter cooling air duct. S3. Detect parameters of the fan during operation, including fan current, fan voltage, motor temperature rise, bearing condition, and blade dynamic balance performance. S4. Obtain the detection data from steps S1 to S3, and conduct comprehensive analysis of the various indicator parameters to determine the fault location and urgency level, and formulate a response strategy.

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